A Study on of Music Features Derived from Audio Recordings Examples – a Quantitative Analysis
The paper presents a comparative study of music features derived from audio recordings, i.e. the same music pieces but representing different music genres, excerpts performed by different musicians, and songs performed by a musician, whose style evolved over time. Firstly, the origin and the backgro...
Saved in:
| Main Authors: | Aleksandra DOROCHOWICZ, Bożena KOSTEK |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Institute of Fundamental Technological Research Polish Academy of Sciences
2018-07-01
|
| Series: | Archives of Acoustics |
| Subjects: | |
| Online Access: | https://acoustics.ippt.pan.pl/index.php/aa/article/view/2107 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deep Learning Approach for Music Genre Classification using Multi-Feature Audio Representations
by: Nurul Asanah, et al.
Published: (2025-09-01) -
Neural audio instruments: epistemological and phenomenological perspectives on musical embodiment of deep learning
by: Victor Zappi, et al.
Published: (2025-08-01) -
MusiQAl: A Dataset for Music Question–Answering through Audio–Video Fusion
by: Anna-Maria Christodoulou, et al.
Published: (2025-07-01) -
Genre Classification and the Current State of Turkmen Musical Folklore
by: Джаміля Курбанова
Published: (2023-09-01) -
Design and implementation of piano audio automatic music transcription algorithm based on convolutional neural network
by: Mengshan Li
Published: (2025-07-01)